Search Results for "visualize" - Page 14
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Showing 690 open source projects for "visualize"
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). ... -
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concurrency-logger
Log HTTP requests/responses separately, visualize their concurrency
HTTP logging middleware is especially useful to unwind concurrent operations without losing the request context. -
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test-tlb
Stupid memory latency and TLB tester
...The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries. -
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PDFReporter
Generating documents and reports, offline enabled and reliable.
The library is a fork of the popular open source Jasper Reports and supports the common features provided by Jasper Reports, but offline and for mobile apps. The PDFReporter library supports iOS, Java and Android library. For your document and report design you use the PDFReporter Studio where you can visualize your data. If you want to use the library commercially please visit our official webpage. -
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BoostNote Legacy
Real-time collaborative writing
...It’s time to aggregate your knowledge in a single place. Build a team-wide knowledge management system to solve the information silos. Organize your dev team's sprint backlog and visualize them with status, assignees, reviewers, due date and everything you need. Reduce repeated progress updates in the company chat and standup meetings. Collaborate with your teammates in a doc with Boost Note's real-time editing. Boost Note's editor makes it easy to write a tech spec with Charts.js, Mermaid, Latex, PlantUML and so on. -
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isiKnock
In silico knockouts for signaling pathways
...The perturbation of biological systems can reveal the complicated interplay and dependencies of pathway components. isiKnock is a software to automatically conduct and visualize in silico knockouts for signaling pathways (Hannig et al. 2019). isiKnock predicts the knockout behavior based on the calculation of signal flows at steady state. For an explanation of the concept of in silico knockouts, we refer to Scheidel et al. 2016 and Amstein et al. 2017. Hannig et al. (2019) isiKnock: in silico knockouts in signaling pathways, Bioinformatics, 35(5), 892–894 Amstein et al. (2017) Manatee invariants reveal functional pathways in signaling networks. ... -
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Java provides the concurrent library that simplifies concurrent programming, but this is hard to learn and visualize. This project is a series of animations each illustrating the coding and usage of a component in the java concurrent library.
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dep-graphV
An useful tool to analize header dependendencies via graphs
dep-graphV is an useful development tool, written in C++ and powered by Qt and GraphViz, that creates a graph of your codebase, by parsing every #include statement found in the project's root folder. It is helpful when you need to analize and visualize the dependecy tree, highlightining cycles and "useless paths", and It means, in short, that you could drastically reduce build times, especially when working on large-scale projects. -
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RDML-Ninja is an editor for qPCR data. It is the reference implementation for the RDML data standard allowing to visualize, edit and reanalyze qPCR data.
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Major Emacs editing mode for X12
Emacs editing mode for X12 files
Emacs editing mode for X12 files and messages. Defines X12-specific font-locking and text navigation. -
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cantorbl
beamshot octave scripts and bike light driver
Light intensity distribution (LID) of a lamp can be measured by taking wall/ceiling beamshots with a digital camera. The scripts process jpgs images (that have to be processed from raw data) and visualize the LID nicely. Driver: Linear, using AMC7135 and Atmel AVR ATtiny45, Li-Ion battery powered. The firmware provides convenient control - bikelight-specific. Below are firmware features -
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Pixeler
CLI image renderer
Pixeler is a command-line image renderer that transforms images into pixelated representations using UTF-8 characters. It's a handy tool for developers who want to display images directly in the terminal, offering a unique way to visualize graphics without a GUI. -
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...It is best for learning how to compare two images that are quite similar to each other. A very interesting application of this code is that a person can check its face before and after beauty/acne treatment to visualize how much the treatment is effective and how his face is improving.
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Scattertext 0.2.1
Beautiful visualizations of how language differs among document types
A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding to terms are selectively labeled so that they don't overlap with other labels or points. -
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VeriSiMPL
Verification via biSimulations of Max-Plus-Linear models
This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. Models... -
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Parsing Algorithms Visualization Tool (PAVT) is an instructional aid that can be used to teach a course on compiler construction. PAVT visualizes the construction of a parser for a given context-free grammar and then illustrates the use of that parser to parse a given string. PAVT can visualize six parsing algorithms, viz. predictive parsing, simple LR parsing, canonical LR parsing, look-ahead LR parsing, Earley parsing and CYK parsing. PAVT logically explains the process of parsing showing the calculations involved in each step. The output of PAVT has been structured to maximize the learning outcomes and contains important constructs like FIRST and FOLLOW sets, item sets, parsing table, parse tree and leftmost or rightmost derivation depending on the algorithm being visualized. ...
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Quadrant Mapping - Good Plus Fast
Template to display points on a four-quadrant grid.
This example shows stakeholder register. The quadrants show who needs to be kept satisfied, managed closely, kept informed or monitored. To create the visual representation, update the 'Stakeholder Register' sheet. -
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GT NLP Class
Course materials for Georgia Tech CS 4650 and 7650
...Students work through programming exercises and problem sets that build intuition for both classical algorithms (like HMMs and CRFs) and neural approaches (like word embeddings and sequence models). The materials emphasize theory grounded in practical experimentation, often via Python notebooks or scripts that visualize results and encourage ablation studies. Clear organization and self-contained examples make it possible to follow along outside the classroom, using the repo as a self-study resource. For learners and instructors alike, the course provides a coherent path from foundational linguistics to current techniques, with reproducible code that makes concepts concrete. -
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BMDExpress Data Viewer
A Visualization Tool to Analyze BMDExpress Datasets
...However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer for visualizing and graphing BMDExpress output files. BMDExpress Data Viewer is a useful tool to visualize, explore and analyze BMDExpress output files. Visualizing the data in this manner enables rapid assessment of data quality, model fit, doses of peak activity, most sensitive pathway perturbations and other metrics that will be useful in applying toxicogenomics in risk assessment. Tool Link: http://apps.sciome.com:8082/BMDX_Viewer/ Publication Link: http://onlinelibrary.wiley.com/doi/10.1002/jat.3265/abstract -
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heatmap.js
JavaScript Library for HTML5 canvas based heatmaps
heatmap.js is a lightweight, easy to use JavaScript library to help you visualize your three dimensional data! Use it to add new value to your project, build a business based on it, study and visualize user behaviour, or why not build something completely crazy/awesome? Whether you want to have an aggregated overview of your users behaviour, or look at thousands of events distributed on a map, heatmap.js has all your heatmap visualization needs covered! -
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NagVis is a visualization addon for the well known network managment system Nagios. NagVis can be used to visualize Nagios Data, e.g. to display IT processes like a mail system or a network infrastructure.
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Survivalcraft Explorer
Web application for displaying in 3D a Survivalcraft world
A small Web application that allows the users to display in 3D a Survivalcraft world, exported from the game. The application allows to visualize the surface, the caves and resources hidden in the underground. This was tested with Chrome. -
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colorview2d
Extendible 2D color plotting tool.
Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python. -
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Spark Python Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis
...Rather than only providing static code files, this project uses notebooks to teach practical data processing workflows, exposing users to real Spark programming patterns like working with RDDs, DataFrames, and distributed computations. These notebooks often demonstrate how to transform, analyze, and visualize large datasets using PySpark APIs, which mirrors many real-world big data use cases. Because Spark is widely used in industry for large-scale data processing, having these example notebooks lowers the barrier to entry for beginners and intermediate users alike. Users can run these notebooks locally or in cloud environments with notebooks like Jupyter or Zeppelin, making learning both flexible and contextual. -
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Viesa
Enable to extract and visualize patterns from annotated arrays
This software enables to extract and visualize regularities (i.e., patterns) from a set of two-dimensional annotated arrays. An annotated array is a two-dimensional data structure in which the order of the line is important (it usually represents the temporality) whereas the order of the columns is irrelevant. For instance, the data produced by a smartphone could be represented as an annotated array : - each column corresponds to one sensor (so the columns order is irrelevant) ; - each line corresponds to the mean value of each sensor during a given amount of time (the lines are ordered chronologically). ...
